{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table class=\"ee-notebook-buttons\" align=\"left\">\n",
    "    <td><a target=\"_blank\"  href=\"https://github.com/giswqs/earthengine-py-notebooks/tree/master/Image/image_visualization.ipynb\"><img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /> View source on GitHub</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://nbviewer.jupyter.org/github/giswqs/earthengine-py-notebooks/blob/master/Image/image_visualization.ipynb\"><img width=26px src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/883px-Jupyter_logo.svg.png\" />Notebook Viewer</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://colab.research.google.com/github/giswqs/earthengine-py-notebooks/blob/master/Image/image_visualization.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /> Run in Google Colab</a></td>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Image Visualization\n",
    "\n",
    "This notebook was adapted from the [Earth Engine JavaScript API Documentation](https://developers.google.com/earth-engine/image_visualization). \n",
    "\n",
    "The [Get Started](https://developers.google.com/earth-engine/getstarted#adding-data-to-the-map) page illustrates how to visualize an image using `Map.addLayer()`. If you add a layer to the map without any additional parameters, by default the Code Editor assigns the first three bands to red, green and blue, respectively. The default stretch is based on the type of data in the band (e.g. floats are stretched in `[0,1]`, 16-bit data are stretched to the full range of possible values), which may or may not be suitable. To achieve desirable visualization effects, you can provide visualization parameters to `Map.addLayer()`. \n",
    "\n",
    "![](https://i.imgur.com/xpWpOal.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Install and import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import subprocess\n",
    "\n",
    "try:\n",
    "    import geehydro\n",
    "except ImportError:\n",
    "    print('geehydro package not installed. Installing ...')\n",
    "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geehydro'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee\n",
    "import folium\n",
    "import geehydro"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Authenticate and initialize Earth Engine API. You only need to authenticate the Earth Engine API once. Uncomment the line `ee.Authenticate()` \n",
    "if you are running this notebook for this first time or if you are getting an authentication error.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    ee.Initialize()\n",
    "except Exception as e:\n",
    "    ee.Authenticate()\n",
    "    ee.Initialize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add layers to map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7efcf1a33f60>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Map = folium.Map()\n",
    "Map.setOptions()\n",
    "\n",
    "# Load an image.\n",
    "image = ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318')\n",
    "\n",
    "# Center the map and display the image.\n",
    "Map.setCenter(-122.1899, 37.5010, 10) # San Francisco Bay\n",
    "Map.addLayer(image, {}, 'default color composite')\n",
    "\n",
    "Map.setControlVisibility()\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RGB composites\n",
    "The following illustrates the use of parameters to style a Landsat 8 image as a false-color composite:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe 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style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7efcf1951978>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a default map\n",
    "Map = folium.Map()\n",
    "Map.setOptions()\n",
    "\n",
    "# Load an image.\n",
    "image = ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318')\n",
    "\n",
    "# Define the visualization parameters.\n",
    "vizParams = {\n",
    "  'bands': ['B5', 'B4', 'B3'],\n",
    "  'min': 0,\n",
    "  'max': 0.5,\n",
    "  'gamma': [0.95, 1.1, 1]\n",
    "}\n",
    "\n",
    "# Center the map and display the image.\n",
    "Map.setCenter(-122.1899, 37.5010, 10) # San Francisco Bay\n",
    "Map.addLayer(image, vizParams, 'false color composite')\n",
    "\n",
    "# Display the map\n",
    "Map.setControlVisibility()\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Color palettes\n",
    "To display a single band of an image in color, set the `parameter` with a color ramp represented by a list of CSS-style color strings. (See this [reference](http://en.wikipedia.org/wiki/Web_colors) for more information). The following example illustrates how to use colors from cyan (`00FFFF`) to blue (`0000FF`) to render a [Normalized Difference Water Index (NDWI)](http://www.tandfonline.com/doi/abs/10.1080/01431169608948714) image.\n",
    "\n",
    "In this example, note that the `min` and `max` parameters indicate the range of pixel values to which the palette should be applied. Intermediate values are linearly stretched. Also note that the `opt_show` parameter is set to `False`. This results in the visibility of the layer being off when it is added to the map. It can always be turned on again using the Layer Manager in the upper right corner of the map. The result should look something like below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe 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style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7efcf18fe4a8>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a default map\n",
    "Map = folium.Map()\n",
    "Map.setOptions()\n",
    "\n",
    "#Load an image.\n",
    "image = ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318')\n",
    "\n",
    "#Create an NDWI image, define visualization parameters and display.\n",
    "ndwi = image.normalizedDifference(['B3', 'B5'])\n",
    "ndwiViz = {'min': 0.5, 'max': 1, 'palette': ['00FFFF', '0000FF']}\n",
    "Map.setCenter(-122.1899, 37.5010, 10) # San Francisco Bay\n",
    "Map.addLayer(ndwi, ndwiViz, 'NDWI', False)\n",
    "\n",
    "# Display the map\n",
    "Map.setControlVisibility()\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Masking\n",
    "You can use `image.updateMask()` to set the opacity of individual pixels based on where pixels in a mask image are non-zero. Pixels equal to zero in the mask are excluded from computations and the opacity is set to 0 for display. The following example uses an NDWI threshold (see the [Relational Operations section](https://developers.google.com/earth-engine/image_relational.html) for information on thresholds) to update the mask on the NDWI layer created previously:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_78b43649377f48eda60a739ca88670c2 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_78b43649377f48eda60a739ca88670c2" ></div>
        
</body>
<script>    
    
            var map_78b43649377f48eda60a739ca88670c2 = L.map(
                "map_78b43649377f48eda60a739ca88670c2",
                {
                    center: [0, 0],
                    crs: L.CRS.EPSG3857,
                    zoom: 1,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_a3a6057166fc4df6acef1aa113e64626 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_78b43649377f48eda60a739ca88670c2);
        
    
            var tile_layer_f636849084434baf8810106288a740d8 = L.tileLayer(
                "https://mt1.google.com/vt/lyrs=y\u0026x={x}\u0026y={y}\u0026z={z}",
                {"attribution": "Google", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_78b43649377f48eda60a739ca88670c2);
        
    
            map_78b43649377f48eda60a739ca88670c2.fitBounds(
                [[37.501, -122.1899], [37.501, -122.1899]],
                {"maxZoom": 10}
            );
        
    
            var tile_layer_3d0554f3b43b4c3bb0fd43943d8d5e33 = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/d32317ee0be2f4dd0b1f72d671fad761-0e7db7ef8f583bb6e1a3f46ac76fe05a/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_78b43649377f48eda60a739ca88670c2);
        
    
            var tile_layer_3d05cea468d04edcb4e138938b6d6f89 = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/c9c0da1bf74de60ad06369e81b4f9b6e-d497fd96fe6163021ced37674b30fdf0/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_78b43649377f48eda60a739ca88670c2);
        
    
            var layer_control_e14bbb52d1e94de999c8e9aa485f1848 = {
                base_layers : {
                    "openstreetmap" : tile_layer_a3a6057166fc4df6acef1aa113e64626,
                },
                overlays :  {
                    "Google Satellite" : tile_layer_f636849084434baf8810106288a740d8,
                    "NDWI" : tile_layer_3d0554f3b43b4c3bb0fd43943d8d5e33,
                    "NDWI masked" : tile_layer_3d05cea468d04edcb4e138938b6d6f89,
                },
            };
            L.control.layers(
                layer_control_e14bbb52d1e94de999c8e9aa485f1848.base_layers,
                layer_control_e14bbb52d1e94de999c8e9aa485f1848.overlays,
                {"autoZIndex": true, "collapsed": true, "position": "topright"}
            ).addTo(map_78b43649377f48eda60a739ca88670c2);
            tile_layer_3d0554f3b43b4c3bb0fd43943d8d5e33.remove();
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topleft", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_78b43649377f48eda60a739ca88670c2);
        
    
                var lat_lng_popup_b27bc4c100df44c0baf75d9588003b48 = L.popup();
                function latLngPop(e) {
                    lat_lng_popup_b27bc4c100df44c0baf75d9588003b48
                        .setLatLng(e.latlng)
                        .setContent("Latitude: " + e.latlng.lat.toFixed(4) +
                                    "<br>Longitude: " + e.latlng.lng.toFixed(4))
                        .openOn(map_78b43649377f48eda60a739ca88670c2);
                    }
                map_78b43649377f48eda60a739ca88670c2.on('click', latLngPop);
            
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7efcf1927588>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a default map\n",
    "Map = folium.Map()\n",
    "Map.setOptions()\n",
    "\n",
    "#Load an image.\n",
    "image = ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318')\n",
    "\n",
    "#Create an NDWI image, define visualization parameters and display.\n",
    "ndwi = image.normalizedDifference(['B3', 'B5'])\n",
    "ndwiViz = {'min': 0.5, 'max': 1, 'palette': ['00FFFF', '0000FF']}\n",
    "Map.setCenter(-122.1899, 37.5010, 10) # San Francisco Bay\n",
    "Map.addLayer(ndwi, ndwiViz, 'NDWI', False)\n",
    "\n",
    "# Mask the non-watery parts of the image, where NDWI < 0.4.\n",
    "ndwiMasked = ndwi.updateMask(ndwi.gte(0.4))\n",
    "Map.addLayer(ndwiMasked, ndwiViz, 'NDWI masked')\n",
    "\n",
    "# Display the map\n",
    "Map.setControlVisibility()\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization images\n",
    "Use the `image.visualize()` method to convert an image into an 8-bit RGB image for display or export. For example, to convert the false-color composite and NDWI to 3-band display images, use:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_028ac34a4e2f4bfdb0446bcf168ca5c9 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_028ac34a4e2f4bfdb0446bcf168ca5c9" ></div>
        
</body>
<script>    
    
            var map_028ac34a4e2f4bfdb0446bcf168ca5c9 = L.map(
                "map_028ac34a4e2f4bfdb0446bcf168ca5c9",
                {
                    center: [0, 0],
                    crs: L.CRS.EPSG3857,
                    zoom: 1,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_5e86112bf88a4f28a8c53d4dd97bb443 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_028ac34a4e2f4bfdb0446bcf168ca5c9);
        
    
            var tile_layer_902ddc06354242a3aaef7e4cbc6aa958 = L.tileLayer(
                "https://mt1.google.com/vt/lyrs=y\u0026x={x}\u0026y={y}\u0026z={z}",
                {"attribution": "Google", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_028ac34a4e2f4bfdb0446bcf168ca5c9);
        
    
            map_028ac34a4e2f4bfdb0446bcf168ca5c9.fitBounds(
                [[37.501, -122.1899], [37.501, -122.1899]],
                {"maxZoom": 10}
            );
        
    
            var tile_layer_a48bc6a0529342ea900b71257c9d8017 = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/d32317ee0be2f4dd0b1f72d671fad761-5bbb92acad3114f69c9ffb45e7932096/tiles/{z}/{x}/{y}",
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            ).addTo(map_028ac34a4e2f4bfdb0446bcf168ca5c9);
        
    
            var tile_layer_0dd84478b7c741bcae23ace15a3711ef = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/c9c0da1bf74de60ad06369e81b4f9b6e-489382d29a81bf7330ad07339a7bb0b1/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_028ac34a4e2f4bfdb0446bcf168ca5c9);
        
    
            var tile_layer_e81ecb05f3e54e2fac300887d773811b = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/0665422338be16ead1ec9a08fc77fd05-ea4ffb6c00777f005e67e4d8097ce990/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_028ac34a4e2f4bfdb0446bcf168ca5c9);
        
    
            var tile_layer_94d972158cb74a4797afae3ffecd92bd = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/c9c0da1bf74de60ad06369e81b4f9b6e-40f94cc84f2abb5599e375bc2eaf9ae7/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_028ac34a4e2f4bfdb0446bcf168ca5c9);
        
    
            var layer_control_4d29c6ea6cbe439082f1339811000b14 = {
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                    "openstreetmap" : tile_layer_5e86112bf88a4f28a8c53d4dd97bb443,
                },
                overlays :  {
                    "Google Satellite" : tile_layer_902ddc06354242a3aaef7e4cbc6aa958,
                    "NDWI" : tile_layer_a48bc6a0529342ea900b71257c9d8017,
                    "NDWI masked" : tile_layer_0dd84478b7c741bcae23ace15a3711ef,
                    "imageRGB" : tile_layer_e81ecb05f3e54e2fac300887d773811b,
                    "ndwiRGB" : tile_layer_94d972158cb74a4797afae3ffecd92bd,
                },
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                layer_control_4d29c6ea6cbe439082f1339811000b14.base_layers,
                layer_control_4d29c6ea6cbe439082f1339811000b14.overlays,
                {"autoZIndex": true, "collapsed": true, "position": "topright"}
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            tile_layer_a48bc6a0529342ea900b71257c9d8017.remove();
            tile_layer_0dd84478b7c741bcae23ace15a3711ef.remove();
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topleft", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_028ac34a4e2f4bfdb0446bcf168ca5c9);
        
    
                var lat_lng_popup_8665c49d10d8484da9d8b5efe59f788d = L.popup();
                function latLngPop(e) {
                    lat_lng_popup_8665c49d10d8484da9d8b5efe59f788d
                        .setLatLng(e.latlng)
                        .setContent("Latitude: " + e.latlng.lat.toFixed(4) +
                                    "<br>Longitude: " + e.latlng.lng.toFixed(4))
                        .openOn(map_028ac34a4e2f4bfdb0446bcf168ca5c9);
                    }
                map_028ac34a4e2f4bfdb0446bcf168ca5c9.on('click', latLngPop);
            
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7efcf1933630>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a default map\n",
    "Map = folium.Map()\n",
    "Map.setOptions()\n",
    "\n",
    "#Load an image.\n",
    "image = ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318')\n",
    "\n",
    "#Create an NDWI image, define visualization parameters and display.\n",
    "ndwi = image.normalizedDifference(['B3', 'B5'])\n",
    "ndwiViz = {'min': 0.5, 'max': 1, 'palette': ['00FFFF', '0000FF']}\n",
    "Map.setCenter(-122.1899, 37.5010, 10) # San Francisco Bay\n",
    "Map.addLayer(ndwi, ndwiViz, 'NDWI', False)\n",
    "\n",
    "# Mask the non-watery parts of the image, where NDWI < 0.4.\n",
    "ndwiMasked = ndwi.updateMask(ndwi.gte(0.4));\n",
    "Map.addLayer(ndwiMasked, ndwiViz, 'NDWI masked', False)\n",
    "\n",
    "# Create visualization layers.\n",
    "imageRGB = image.visualize(**{'bands': ['B5', 'B4', 'B3'], 'max': 0.5})\n",
    "ndwiRGB = ndwiMasked.visualize(**{\n",
    "  'min': 0.5,\n",
    "  'max': 1,\n",
    "  'palette': ['00FFFF', '0000FF']\n",
    "})\n",
    "\n",
    "Map.addLayer(imageRGB, {}, 'imageRGB')\n",
    "Map.addLayer(ndwiRGB, {}, 'ndwiRGB')\n",
    "\n",
    "# Display the map\n",
    "Map.setControlVisibility()\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mosaicking\n",
    "You can use masking and `imageCollection.mosaic()` (see the [Mosaicking section](https://developers.google.com/earth-engine/ic_composite_mosaic.html) for information on mosaicking) to achieve various cartographic effects. The `mosaic()` method renders layers in the output image according to their order in the input collection. The following example uses `mosaic()` to combine the masked NDWI and the false color composite and obtain a new visualization.\n",
    "\n",
    "In this example, observe that a list of the two visualization images is provided to the ImageCollection constructor. The order of the list determines the order in which the images are rendered on the map. The result should look something like below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_97f61921bbbb4283aafacb0d0269158d {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_97f61921bbbb4283aafacb0d0269158d" ></div>
        
</body>
<script>    
    
            var map_97f61921bbbb4283aafacb0d0269158d = L.map(
                "map_97f61921bbbb4283aafacb0d0269158d",
                {
                    center: [0, 0],
                    crs: L.CRS.EPSG3857,
                    zoom: 1,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_5b2e00ae4fc04e5da74d41093a5d850c = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
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            var tile_layer_9440adea6e154bc4ad82be9162542d1f = L.tileLayer(
                "https://mt1.google.com/vt/lyrs=y\u0026x={x}\u0026y={y}\u0026z={z}",
                {"attribution": "Google", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_97f61921bbbb4283aafacb0d0269158d);
        
    
            map_97f61921bbbb4283aafacb0d0269158d.fitBounds(
                [[37.501, -122.1899], [37.501, -122.1899]],
                {"maxZoom": 10}
            );
        
    
            var tile_layer_2e496d6a6ece411196d8ec474e0e1f3b = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/d32317ee0be2f4dd0b1f72d671fad761-f507b4c842783b3856012fc2c93e07ea/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
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            var tile_layer_e38ffc3e454145adbba39e5623bd7f2d = L.tileLayer(
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            ).addTo(map_97f61921bbbb4283aafacb0d0269158d);
        
    
            var tile_layer_41e187003b014e02a227f924ee450443 = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/0665422338be16ead1ec9a08fc77fd05-8a101593766562b2a87538d526ce2a08/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_97f61921bbbb4283aafacb0d0269158d);
        
    
            var tile_layer_941a4739506a4fbba52108d6136293ae = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/c9c0da1bf74de60ad06369e81b4f9b6e-b68d72e320de1594c6cbfa001d07e29d/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_97f61921bbbb4283aafacb0d0269158d);
        
    
            var tile_layer_a5afa4a53555493295ff701775e2cd40 = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/3897c9e47318206e2d99f60cb4b1a540-d411adc5cc72400d09432e94133dbfb8/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_97f61921bbbb4283aafacb0d0269158d);
        
    
            var layer_control_ab3e9af615ec4446a947664bde7b03b9 = {
                base_layers : {
                    "openstreetmap" : tile_layer_5b2e00ae4fc04e5da74d41093a5d850c,
                },
                overlays :  {
                    "Google Satellite" : tile_layer_9440adea6e154bc4ad82be9162542d1f,
                    "NDWI" : tile_layer_2e496d6a6ece411196d8ec474e0e1f3b,
                    "NDWI masked" : tile_layer_e38ffc3e454145adbba39e5623bd7f2d,
                    "imageRGB" : tile_layer_41e187003b014e02a227f924ee450443,
                    "ndwiRGB" : tile_layer_941a4739506a4fbba52108d6136293ae,
                    "mosaic" : tile_layer_a5afa4a53555493295ff701775e2cd40,
                },
            };
            L.control.layers(
                layer_control_ab3e9af615ec4446a947664bde7b03b9.base_layers,
                layer_control_ab3e9af615ec4446a947664bde7b03b9.overlays,
                {"autoZIndex": true, "collapsed": true, "position": "topright"}
            ).addTo(map_97f61921bbbb4283aafacb0d0269158d);
            tile_layer_2e496d6a6ece411196d8ec474e0e1f3b.remove();
            tile_layer_e38ffc3e454145adbba39e5623bd7f2d.remove();
            tile_layer_41e187003b014e02a227f924ee450443.remove();
            tile_layer_941a4739506a4fbba52108d6136293ae.remove();
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topleft", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_97f61921bbbb4283aafacb0d0269158d);
        
    
                var lat_lng_popup_d79a927ee3884674916d652a8c508ea6 = L.popup();
                function latLngPop(e) {
                    lat_lng_popup_d79a927ee3884674916d652a8c508ea6
                        .setLatLng(e.latlng)
                        .setContent("Latitude: " + e.latlng.lat.toFixed(4) +
                                    "<br>Longitude: " + e.latlng.lng.toFixed(4))
                        .openOn(map_97f61921bbbb4283aafacb0d0269158d);
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                map_97f61921bbbb4283aafacb0d0269158d.on('click', latLngPop);
            
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7efcf18cf588>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a default map\n",
    "Map = folium.Map()\n",
    "Map.setOptions()\n",
    "\n",
    "#Load an image.\n",
    "image = ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318')\n",
    "\n",
    "#Create an NDWI image, define visualization parameters and display.\n",
    "ndwi = image.normalizedDifference(['B3', 'B5'])\n",
    "ndwiViz = {'min': 0.5, 'max': 1, 'palette': ['00FFFF', '0000FF']}\n",
    "Map.setCenter(-122.1899, 37.5010, 10) # San Francisco Bay\n",
    "Map.addLayer(ndwi, ndwiViz, 'NDWI', False)\n",
    "\n",
    "# Mask the non-watery parts of the image, where NDWI < 0.4.\n",
    "ndwiMasked = ndwi.updateMask(ndwi.gte(0.4));\n",
    "Map.addLayer(ndwiMasked, ndwiViz, 'NDWI masked', False)\n",
    "\n",
    "# Create visualization layers.\n",
    "imageRGB = image.visualize(**{'bands': ['B5', 'B4', 'B3'], 'max': 0.5})\n",
    "ndwiRGB = ndwiMasked.visualize(**{\n",
    "  'min': 0.5,\n",
    "  'max': 1,\n",
    "  'palette': ['00FFFF', '0000FF']\n",
    "})\n",
    "\n",
    "Map.addLayer(imageRGB, {}, 'imageRGB', False)\n",
    "Map.addLayer(ndwiRGB, {}, 'ndwiRGB', False)\n",
    "\n",
    "# Mosaic the visualization layers and display (or export).\n",
    "mosaic = ee.ImageCollection([imageRGB, ndwiRGB]).mosaic()\n",
    "Map.addLayer(mosaic, {}, 'mosaic');\n",
    "\n",
    "# Display the map\n",
    "Map.setControlVisibility()\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clipping\n",
    "The `image.clip()` method is useful for achieving cartographic effects. The following example clips the mosaic shown above to an arbitrary buffer zone around the city of San Francisco.\n",
    "\n",
    "Note that the coordinates are provided to the `Geometry` constructor and the buffer length is specified as 20,000 meters. Learn more about geometries on the [Geometries page](https://developers.google.com/earth-engine/geometries). The result, shown with the map in the background, should look something like below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
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    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_e06ed2ecd3ef46069b56dae6b7e5257b {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_e06ed2ecd3ef46069b56dae6b7e5257b" ></div>
        
</body>
<script>    
    
            var map_e06ed2ecd3ef46069b56dae6b7e5257b = L.map(
                "map_e06ed2ecd3ef46069b56dae6b7e5257b",
                {
                    center: [0, 0],
                    crs: L.CRS.EPSG3857,
                    zoom: 1,
                    zoomControl: true,
                    preferCanvas: false,
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            var tile_layer_6c73ecc02c15419f9a8aa59c134b33ba = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_e06ed2ecd3ef46069b56dae6b7e5257b);
        
    
            var tile_layer_c96f33db6b9b477eb6d34307ce3f6500 = L.tileLayer(
                "https://mt1.google.com/vt/lyrs=y\u0026x={x}\u0026y={y}\u0026z={z}",
                {"attribution": "Google", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
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            map_e06ed2ecd3ef46069b56dae6b7e5257b.fitBounds(
                [[37.7599, -122.4344], [37.7599, -122.4344]],
                {"maxZoom": 10}
            );
        
    
            var tile_layer_8cbc6a223d9148d4b115c4439f3b25bc = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/d32317ee0be2f4dd0b1f72d671fad761-94f49ff6198cfa1db2a2830312fcd1db/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_e06ed2ecd3ef46069b56dae6b7e5257b);
        
    
            var tile_layer_b8c144764bcd455fb8577e674f7274a8 = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/c9c0da1bf74de60ad06369e81b4f9b6e-e33a6f496730904e889218f1d5f63610/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_e06ed2ecd3ef46069b56dae6b7e5257b);
        
    
            var tile_layer_1919ba9443104333aa50e1583c3bf017 = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/0665422338be16ead1ec9a08fc77fd05-8dd1748b7d9badb06ae426a140ed038a/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
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            var tile_layer_be7596c9c4e7443493f24669447fd536 = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/c9c0da1bf74de60ad06369e81b4f9b6e-540e9334c780b8764dff03af2d1ea8a6/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_e06ed2ecd3ef46069b56dae6b7e5257b);
        
    
            var tile_layer_48e78ffaf7bc4be28a8125d4f9d96c45 = L.tileLayer(
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                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_e06ed2ecd3ef46069b56dae6b7e5257b);
        
    
            var tile_layer_6375a8af54bc47d9a0d82984763320c2 = L.tileLayer(
                "https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps/60a62d95eed07c33c1f961bb918544df-8990f7af2ff92e1584871e2731495591/tiles/{z}/{x}/{y}",
                {"attribution": "Google Earth Engine", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_e06ed2ecd3ef46069b56dae6b7e5257b);
        
    
            var layer_control_3684bfa0cb964da893b1b5cf56a95e33 = {
                base_layers : {
                    "openstreetmap" : tile_layer_6c73ecc02c15419f9a8aa59c134b33ba,
                },
                overlays :  {
                    "Google Satellite" : tile_layer_c96f33db6b9b477eb6d34307ce3f6500,
                    "NDWI" : tile_layer_8cbc6a223d9148d4b115c4439f3b25bc,
                    "NDWI masked" : tile_layer_b8c144764bcd455fb8577e674f7274a8,
                    "imageRGB" : tile_layer_1919ba9443104333aa50e1583c3bf017,
                    "ndwiRGB" : tile_layer_be7596c9c4e7443493f24669447fd536,
                    "mosaic" : tile_layer_48e78ffaf7bc4be28a8125d4f9d96c45,
                    "Clipped image" : tile_layer_6375a8af54bc47d9a0d82984763320c2,
                },
            };
            L.control.layers(
                layer_control_3684bfa0cb964da893b1b5cf56a95e33.base_layers,
                layer_control_3684bfa0cb964da893b1b5cf56a95e33.overlays,
                {"autoZIndex": true, "collapsed": true, "position": "topright"}
            ).addTo(map_e06ed2ecd3ef46069b56dae6b7e5257b);
            tile_layer_8cbc6a223d9148d4b115c4439f3b25bc.remove();
            tile_layer_b8c144764bcd455fb8577e674f7274a8.remove();
            tile_layer_1919ba9443104333aa50e1583c3bf017.remove();
            tile_layer_be7596c9c4e7443493f24669447fd536.remove();
            tile_layer_48e78ffaf7bc4be28a8125d4f9d96c45.remove();
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topleft", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_e06ed2ecd3ef46069b56dae6b7e5257b);
        
    
                var lat_lng_popup_e894d931326b418c90384268130e9acf = L.popup();
                function latLngPop(e) {
                    lat_lng_popup_e894d931326b418c90384268130e9acf
                        .setLatLng(e.latlng)
                        .setContent("Latitude: " + e.latlng.lat.toFixed(4) +
                                    "<br>Longitude: " + e.latlng.lng.toFixed(4))
                        .openOn(map_e06ed2ecd3ef46069b56dae6b7e5257b);
                    }
                map_e06ed2ecd3ef46069b56dae6b7e5257b.on('click', latLngPop);
            
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7efcf18c3cc0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a default map\n",
    "Map = folium.Map()\n",
    "Map.setOptions()\n",
    "\n",
    "#Load an image.\n",
    "image = ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318')\n",
    "\n",
    "#Create an NDWI image, define visualization parameters and display.\n",
    "ndwi = image.normalizedDifference(['B3', 'B5'])\n",
    "ndwiViz = {'min': 0.5, 'max': 1, 'palette': ['00FFFF', '0000FF']}\n",
    "Map.setCenter(-122.4344, 37.7599, 10) # San Francisco Bay\n",
    "Map.addLayer(ndwi, ndwiViz, 'NDWI', False)\n",
    "\n",
    "# Mask the non-watery parts of the image, where NDWI < 0.4.\n",
    "ndwiMasked = ndwi.updateMask(ndwi.gte(0.4));\n",
    "Map.addLayer(ndwiMasked, ndwiViz, 'NDWI masked', False)\n",
    "\n",
    "# Create visualization layers.\n",
    "imageRGB = image.visualize(**{'bands': ['B5', 'B4', 'B3'], 'max': 0.5})\n",
    "ndwiRGB = ndwiMasked.visualize(**{\n",
    "  'min': 0.5,\n",
    "  'max': 1,\n",
    "  'palette': ['00FFFF', '0000FF']\n",
    "})\n",
    "\n",
    "Map.addLayer(imageRGB, {}, 'imageRGB', False)\n",
    "Map.addLayer(ndwiRGB, {}, 'ndwiRGB', False)\n",
    "\n",
    "# Mosaic the visualization layers and display (or export).\n",
    "mosaic = ee.ImageCollection([imageRGB, ndwiRGB]).mosaic()\n",
    "Map.addLayer(mosaic, {}, 'mosaic', False);\n",
    "\n",
    "# Create a circle by drawing a 20000 meter buffer around a point.\n",
    "roi = ee.Geometry.Point([-122.4481, 37.7599]).buffer(20000)\n",
    "clipped = mosaic.clip(roi)\n",
    "\n",
    "# Display a clipped version of the mosaic.\n",
    "Map.addLayer(clipped, {}, 'Clipped image')\n",
    "\n",
    "# Display the map\n",
    "Map.setControlVisibility()\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rendering categorical maps\n",
    "Palettes are also useful for rendering discrete valued maps, for example a land cover map. In the case of multiple classes, use the palette to supply a different color for each class. (The `image.remap()` method may be useful in this context, to convert arbitrary labels to consecutive integers). The following example uses a palette to render land cover categories:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe 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      ],
      "text/plain": [
       "<folium.folium.Map at 0x7efcf18cfe48>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a default map\n",
    "Map = folium.Map()\n",
    "Map.setOptions()\n",
    "\n",
    "#Load 2012 MODIS land cover and select the IGBP classification.\n",
    "cover = ee.Image('MODIS/051/MCD12Q1/2012_01_01') \\\n",
    "  .select('Land_Cover_Type_1')\n",
    "\n",
    "#Define a palette for the 18 distinct land cover classes.\n",
    "igbpPalette = [\n",
    "  'aec3d4', #water\n",
    "  '152106', '225129', '369b47', '30eb5b', '387242', #forest\n",
    "  '6a2325', 'c3aa69', 'b76031', 'd9903d', '91af40',  #shrub, grass\n",
    "  '111149', #wetlands\n",
    "  'cdb33b', #croplands\n",
    "  'cc0013', #urban\n",
    "  '33280d', #crop mosaic\n",
    "  'd7cdcc', #snow and ice\n",
    "  'f7e084', #barren\n",
    "  '6f6f6f'  #tundra\n",
    "]\n",
    "\n",
    "#Specify the min and max labels and the color palette matching the labels.\n",
    "Map.setCenter(-99.229, 40.413, 5)\n",
    "Map.addLayer(cover, {'min': 0, 'max': 17, 'palette': igbpPalette}, 'IGBP classification')\n",
    "\n",
    "Map.setControlVisibility()\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Thumbnail images\n",
    "Use the `ee.Image.getThumbURL()` method to generate a PNG or JPEG thumbnail image for an `ee.Image` object. Printing the outcome of an expression ending with a call to `getThumbURL()` results in a URL being printed to the console. Visiting the URL sets Earth Engine servers to work on generating the requested thumbnail on-the-fly. The image is displayed in the browser when processing completes. It can be downloaded by selecting appropriate options from the image’s right-click context menu.\n",
    "\n",
    "The `getThumbURL()` method shares parameters with `Map.addLayer()`, described in the [visualization parameters table](https://developers.google.com/earth-engine/image_visualization#mapVisParamTable) above. Additionally, it takes optional `dimension`, `region`, and `crs` arguments that control the spatial extent, size, and display projection of the thumbnail.\n",
    "\n",
    "![](https://i.imgur.com/eGNcPoN.png)\n",
    "\n",
    "A single-band image will default to grayscale unless a `palette` argument is supplied. A multi-band image will default to RGB visualization of the first three bands, unless a `bands` argument is supplied. If only two bands are provided, the first band will map to red, the second to blue, and the green channel will be zero filled.\n",
    "\n",
    "The following are a series of examples demonstrating various combinations of `getThumbURL()` parameter arguments. Visit the URLs printed to the console when you run this script to view the thumbnails."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Default extent and size: https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/thumbnails/364754dc238db5b457bc49db2d8012a2-1e98a79ae7d56ba1800b4b2e8fa8cb16:getPixels\n",
      "GeoJSON region, palette, and max dimension: https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/thumbnails/2d16b43fb673de23bd3faa9f6c568b88-133dff6cca9523abab7dc4963e7132ff:getPixels\n"
     ]
    }
   ],
   "source": [
    "# Fetch a digital elevation model.\n",
    "image = ee.Image('CGIAR/SRTM90_V4')\n",
    "\n",
    "# Request a default thumbnail of the DEM with defined linear stretch.\n",
    "# Set masked pixels (ocean) to 1000 so they map as gray.\n",
    "thumbnail1 = image.unmask(1000).getThumbURL({\n",
    "  'min': 0,\n",
    "  'max': 3000,\n",
    "  'dimensions': 500\n",
    "})\n",
    "print('Default extent and size:', thumbnail1)\n",
    "\n",
    "# Specify region by GeoJSON, define palette, set size of the larger aspect dimension.\n",
    "thumbnail2 = image.getThumbURL({\n",
    "  'min': 0,\n",
    "  'max': 3000,\n",
    "  'palette': ['00A600','63C600','E6E600','E9BD3A','ECB176','EFC2B3','F2F2F2'],\n",
    "  'dimensions': 500,\n",
    "  'region': ee.Geometry.Rectangle([-84.6, -55.9, -32.9, 15.7]),\n",
    "})\n",
    "print('GeoJSON region, palette, and max dimension:', thumbnail2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "file_extension": ".py",
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